Search Results - feed-forward ((detection algorithm) OR (pollination algorithm))

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  1. 1
    Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network

    Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network by Ahmed, Abdulghani Ali

    Published 2019
    “…The current work proposes a technique to detect Botnet attacks using a feed-forward backpropagation artificial neural network. …”
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  2. 2
    Early tube leak detection system for steam boiler at KEV power plant

    Early tube leak detection system for steam boiler at KEV power plant by Ismail F.B., Singh D., Maisurah N., Musa A.B.B.

    Published 2023
    “…Backpropagation; Coal; Coal fired boilers; Engineering research; Engines; Fault detection; Fossil fuel power plants; Leak detection; Neural networks; Plant shutdowns; Steam power plants; Artificial neural network models; Coal-fired power plant; Feed-forward back propagation networks; Hidden layers; Neural network (nn); Training algorithms; Training function; Working properties; Boilers…”
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  3. 3
    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System

    Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System by Ali, Mohammed Hasan, Mohamed Fadli, Zolkipli

    Published 2019
    “…The approach was tested on the KDD Cup99 intrusion detection dataset and the results proved the proposed PSO-RKFLN as an accurate, reliable, and effective classification algorithm.…”
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  4. 4
    Neural network approach of harmonics detection

    Neural network approach of harmonics detection by Zin, A.A.M, Rokonuzzaman, M., Shaibon, H., Lo, K.I.

    Published 1998
    “…This paper describes a novel approach of harmonics detection in a power system which can be used as an alternative to the conventional approaches. …”
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  5. 5
    Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column

    Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column by Othman, M. R., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2003
    “…Through the proposed algorithm, various faults could be simulated and detected using the system. …”
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  6. 6
    Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks

    Structural steel plate damage detection using non destructive testing, frame energy based statistical features and artificial neural networks by Paulraj, Murugesa Pandiyan, Dr., Sazali, Yaacob, Prof. Dr., Mohd Shukry, Abdul Majid, Mohd Nor Fakhzan, Mohd Kazim, Pranesh, Krishnan

    Published 2013
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  7. 7
    Early detection of dengue disease using extreme learning machine

    Early detection of dengue disease using extreme learning machine by Suhaeri, Suhaeri, Mohd Nawi, Nazri, Fathurahman, Muhamad

    Published 2018
    “…Therefore, the proposed ELM model can be considered as an alternative algorithm to apply for early detection of Dengue disease.…”
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  8. 8
    Process fault detection using hierarchical artificial neural network diagnostic strategy

    Process fault detection using hierarchical artificial neural network diagnostic strategy by Othman, Mahamad Rizza, Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

    Published 2007
    “…The architecture of the ANN model is founded on a multilayer feed forward network and used back propagation algorithm as the training scheme. …”
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  9. 9
    Process Fault Detection Using Hierarchical Artificial Neural Network Diagnostic Strategy

    Process Fault Detection Using Hierarchical Artificial Neural Network Diagnostic Strategy by Mohamad Rizza, Othman, Mohamad Wijayanuddin, Ali, Mohd Zaki, Kamsah

    Published 2007
    “…The architecture of the ANN model is founded on a multilayer feed forward network and used back propagation algorithm as the training scheme. …”
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  10. 10
    Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia’s car plates

    Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia’s car plates by Chin, Kim On, Teo, Kein Yau, Rayner Alfred, Teo, Jason Tze Wi, Patricia Anthony, Wang, Cheng

    Published 2016
    “…We compared the results with the results obtained using simple Feed-Forward Neural Network (FFNN). This research aims to solve four main issues; (1) localization of car plates that has the same colour with the vehicle colour, (2) detection and recognition of car plates with varying sizes, (3) detection and recognition of car plates with different font types, and (4) detection and recognition of non-standardized car plates. …”
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  11. 11
    Overhead vision system for mobile robot orientation detection

    Overhead vision system for mobile robot orientation detection by Fadzilah, Hashim

    Published 2011
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    Thesis
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  12. 12
    Handwriting Recognition Using Artificial Neural Network

    Handwriting Recognition Using Artificial Neural Network by Goh , Siew Yin

    Published 2004
    “…The neural network scheme employs the Multi Layer Feed Forward Network as the alphabet classifier. This network is trained using the Back-Propagation algorithm to identify similarities and patterns among different handwriting samples. …”
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    Final Year Project
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  13. 13
    A step towards the development of VHDL model for ANN based EMG signal classifier

    A step towards the development of VHDL model for ANN based EMG signal classifier by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

    Published 2012
    “…A feed-forward ANN with back-propagation learning algorithm is used for the classification of EMG signals. …”
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  14. 14
    Heart failure detection using Scaled Conjugate Gradient Method and Naïve Bayes

    Heart failure detection using Scaled Conjugate Gradient Method and Naïve Bayes by Mahat, Norpah, Saidin @ Zubir, Norazwana, Bidin, Jasmani, Mohamad Fadzil, Mohamad Najib, Syed Abas, Sharifah Fhahriyah, Raseli, Siti Sarah

    Published 2025
    “…A Feed-Forward Neural Network (FFNN) was utilized as the primary classifier to detect the presence of heart failure. …”
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  15. 15
    EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces

    EEG signal classification using Particle Swarm Optimization (PSO) neural network for brain machine interfaces by Paulraj, Murugesapandian, Hema, Chengalvarayan Radhakrishnamurthy, Ramachandran, Nagarajan, Sazali, Yaacob, Abdul Hamid, Adom

    Published 2009
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  16. 16
    Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia's car plates

    Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia's car plates by Chin, Kim On, Teo, Kein Yau, Rayner Alfred, Jason Teo, Patricia Anthony, Wang, Cheng

    Published 2016
    “…We compared the results with the results obtained using simple Feed-Forward Neural Network (FFNN). This research aims to solve four main issues; (1) localization of car plates that has the same colour with the vehicle colour, (2) detection and recognition of car plates with varying sizes, (3) detection and recognition of car plates with different font types, and (4) detection and recognition of non-standardized car plates. …”
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  17. 17
    Intelligent technique for grading tropical fruit using magnetic resonance imaging

    Intelligent technique for grading tropical fruit using magnetic resonance imaging by A. Balogun, Wasiu, Salami, Momoh Jimoh Emiyoka, J. McCarthy, Michael, Mohd Mustafah, Yasir, Aibinu, Abiodun Musa

    Published 2013
    “…Different structures of multi-layer perceptron neural networks with feed-forward and back-propagation learning algorithms were developed using MATLAB. …”
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  18. 18
    Optimization of coded signals based on wavelet neural network

    Optimization of coded signals based on wavelet neural network by Ahmed, Mustafa Sami

    Published 2015
    “…When compared with other existing methods, WNN yields better PSR, low Mean Square Error (MSE), less noise, range resolution ability and Doppler shift performance than the previous and some traditional algorithms like auto correlation function (ACF) algorithm.…”
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  19. 19
    Image processing based vehicle's license plate tracking and recognition system

    Image processing based vehicle's license plate tracking and recognition system by Lorita Angeline

    Published 2013
    “…However, one major difficulty in object detection is the fact that different views of the same object can look very different, as an image is essentially the projection of a 3D object onto a 2D plane. …”
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  20. 20
    Extending the range of an Optical Vanadium (V) Sensor Based on Immobilized Fatty Hydroxamic Acid in Poly (methyl Methacrylate) using Artifical Neural Network

    Extending the range of an Optical Vanadium (V) Sensor Based on Immobilized Fatty Hydroxamic Acid in Poly (methyl Methacrylate) using Artifical Neural Network by Isha, Azizul, Yusof, Nor Azah, Ahmad, Musa, Suhendra, Dedy, Wan Yunus, Wan Md Zin, Zainal, Zulkarnain

    Published 2007
    “…The V(V)-FHA complex shows a limited linear dynamic range was extended with low calibration error.A three layer feed forward neural network using backpropagation (BP) algorithm was employed in this study. …”
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